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DOI10.5194/acp-22-3713-2022
Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?
Kacenelenbogen, Meloe S. F.; Tan, Qian; Burton, Sharon P.; Hasekamp, Otto P.; Froyd, Karl D.; Shinozuka, Yohei; Beyersdorf, Andreas J.; Ziemba, Luke; Thornhill, Kenneth L.; Dibb, Jack E.; Shingler, Taylor; Sorooshian, Armin; Espinosa, Reed W.; Martins, Vanderlei; Jimenez, Jose L.; Campuzano-Jost, Pedro; Schwarz, Joshua P.; Johnson, Matthew S.; Redemann, Jens; Schuster, Gregory L.
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码3713
结束页码3742
卷号22期号:6页码:30
英文摘要Improvements in air quality and Earth's climate predictions require improvements of the aerosol speciation in chemical transport models, using observational constraints. Aerosol speciation (e.g., organic aerosols, black carbon, sulfate, nitrate, ammonium, dust or sea salt) is typically determined using in situ instrumentation. Continuous, routine aerosol composition measurements from ground-based networks are not uniformly widespread over the globe. Satellites, on the other hand, can provide a maximum coverage of the horizontal and vertical atmosphere but observe aerosol optical properties (and not aerosol speciation) based on remote sensing instrumentation. Combinations of satellite-derived aerosol optical properties can inform on air mass aerosol types (AMTs). However, these AMTs are subjectively defined, might often be misclassified and are hard to relate to the critical parameters that need to be refined in models. In this paper, we derive AMTs that are more directly related to sources and hence to speciation. They are defined, characterized and derived using simultaneous in situ gas-phase, chemical and optical instruments on the same aircraft during the Study of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC(4)RS, an airborne field campaign carried out over the US during the summer of 2013). We find distinct optical signatures for AMTs such as biomass burning (from agricultural or wildfires), biogenic and polluted dust. We find that all four AMTs, studied when prescribed using mostly airborne in situ gas measurements, can be successfully extracted from a few combinations of airborne in situ aerosol optical properties (e.g., extinction Angstrom exponent, absorption Angstrom exponent and real refractive index). However, we find that the optically based classifications for biomass burning from agricultural fires and polluted dust include a large percentage of misclassifications that limit the usefulness of results related to those classes. The technique and results presented in this study are suitable to develop a representative, robust and diverse source-based AMT database. This database could then be used for widespread retrievals of AMTs using existing and future remote sensing suborbital instruments/networks. Ultimately, it has the potential to provide a much broader observational aerosol dataset to evaluate chemical transport and air quality models than is currently available by direct in situ measurements. This study illustrates how essential it is to explore existing airborne datasets to bridge chemical and optical signatures of different AMTs, before the implementation of future space-borne missions (e.g., the next generation of Earth Observing System (EOS) satellites addressing Aerosols, Cloud, Convection and Precipitation (ACCP) designated observables).
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000773402600001
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/273341
作者单位National Aeronautics & Space Administration (NASA); NASA Ames Research Center; National Aeronautics & Space Administration (NASA); NASA Langley Research Center; University of Colorado System; University of Colorado Boulder; University System Of New Hampshire; University of New Hampshire; University of Arizona; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; University System of Maryland; University of Maryland Baltimore County; National Oceanic Atmospheric Admin (NOAA) - USA; University of Oklahoma System; University of Oklahoma - Norman
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Kacenelenbogen, Meloe S. F.,Tan, Qian,Burton, Sharon P.,et al. Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?[J],2022,22(6):30.
APA Kacenelenbogen, Meloe S. F..,Tan, Qian.,Burton, Sharon P..,Hasekamp, Otto P..,Froyd, Karl D..,...&Schuster, Gregory L..(2022).Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(6),30.
MLA Kacenelenbogen, Meloe S. F.,et al."Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.6(2022):30.
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